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The current role of MRI in differentiating multiple sclerosis from its imaging mimics

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  1. MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice

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  2. Calcitonin gene-related peptide - beyond migraine prophylaxis

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  3. Ageing as a risk factor for neurodegenerative disease

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  4. Post-traumatic headache: epidemiology and pathophysiological insights

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  5. Does inflammation have a role in migraine?

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  1. Fibrinogen: A potential biomarker for predicting disease severity in multiple sclerosis

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  2. Highly sensitive quantification of optic neuritis intrathecal biomarker CXCL13

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  3. Aggressive multiple sclerosis (2): Treatment

    Research output: Contribution to journalJournal articleResearchpeer-review

  • Ruth Geraldes
  • Olga Ciccarelli
  • Frederik Barkhof
  • Nicola De Stefano
  • Christian Enzinger
  • Massimo Filippi
  • Monika Hofer
  • Friedemann Paul
  • Paolo Preziosa
  • Alex Rovira
  • Gabriele C DeLuca
  • Ludwig Kappos
  • Tarek Yousry
  • Franz Fazekas
  • Jette Frederiksen
  • Claudio Gasperini
  • Jaume Sastre-Garriga
  • Nikos Evangelou
  • Jacqueline Palace
  • MAGNIMS Study Group
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MRI red flags proposed over a decade ago by the European Magnetic Resonance Network in MS (MAGNIMS) have guided clinicians in the diagnosis of multiple sclerosis (MS). However, the past 10 years have seen increased recognition that vascular disease can coexist and possibly interact with MS, improvements in the reliability of ways to differentiate MS from novel antibody-mediated CNS disorders (such as anti-aquaporin-4 antibody and myelin-oligodendrocyte glycoprotein antibody-associated diseases) and advances in MRI techniques. In this Review, MAGNIMS updates the imaging features that differentiate the most common mimics of MS, particularly age-related cerebrovascular disease and neuromyelitis optica, from MS itself. We also provide a pragmatic summary of the clinically useful MRI features that distinguish MS from its mimics and discuss the future of nonconventional techniques that have identified promising disease-specific features.

Original languageEnglish
JournalNature reviews. Neurology
Volume14
Issue number4
Pages (from-to)199-213
Number of pages15
ISSN1759-4758
DOIs
Publication statusPublished - 2018

ID: 56665902